Go Back   SEQanswers > Bioinformatics > Bioinformatics

Similar Threads
Thread Thread Starter Forum Replies Last Post
picardtools LiftoverVcf losing majority of information lstbl Bioinformatics 0 06-23-2016 10:19 AM
combining multiple fastqc output files heso Illumina/Solexa 2 12-17-2015 03:44 AM
Multiple NGS Platform and combining data Strider Bioinformatics 1 11-17-2012 04:00 PM
Combining multiple Trinity assemblies? yeaman Bioinformatics 2 12-08-2011 04:30 PM
Truseq Small RNA kit - losing library in the final cleanup? Tali7 Sample Prep / Library Generation 3 10-12-2011 03:26 AM

Thread Tools
Old 04-30-2020, 12:50 AM   #1
Junior Member
Location: Italy

Join Date: Apr 2020
Posts: 1
Default Combining multiple bams without losing library size information?

Hello all,
I have beeing searching the internet but I have not found what I need to know. Let's say that I have 3 or more bam files representing biological replicates and that I need to display the alignment (for instance as bedGraph) combining all three replicates together. Also, merging the bam files is not an option as my bam files have different library sizes and I do not want to lose the information (for instance, if one bam file is much bigger than the others, by merging I would basically lose the information by the other bam files). So far, I only found bamCompare as an option to combine 2 bam files implementing normalization so that I do not lose information due to possibly different library sizes. But how can I do so for more than 2 bam files? Any idea? Is there a way to normalize bam files prior to merging?
Thank you
Mic23 is offline   Reply With Quote

bam, merging, normalization, replicates

Thread Tools

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

All times are GMT -8. The time now is 04:19 AM.

Powered by vBulletin® Version 3.8.9
Copyright ©2000 - 2020, vBulletin Solutions, Inc.
Single Sign On provided by vBSSO